| Literature DB >> 28033246 |
Hao Hu1, Rong Liu, Xiao Ran Long, Xi Kun Han, Jia Fan, Zhi Ping Yan, Jian Hua Wang.
Abstract
This study sought to develop a reliable and easy-to-use scoring model to guide the decision to perform postsurgical adjuvant transarterial chemoembolization (PA-TACE) in patients with hepatitis B-related hepatocellular carcinoma (HCC).The study included 235 consecutive patients with hepatitis B-related HCC undergoing PA-TACE at our medical center. Patients were assigned to 2 sets according to the PA-TACE date: initial (2005-2007; n = 130) and internal validation (2008-2009; n = 105) sets. With the aid of a Cox regression model, we developed a risk-scoring model from the independent predictive factors of our initial set designed as a guide for PA-TACE, and the performance of the model was validated with an internal set. External validation was also performed with an independent dataset (n = 84) to assess the discriminatory power of the scoring model.In the multivariate analysis, 4 risk factors (an increase in Child-Pugh score of at least 1 point, hepatitis B virus deoxyribonucleic acid [HBV-DNA] level >10 IU/mL, tumor diameter ≥5 cm, and the presence of vascular invasion) were significantly associated with prognosis. These factors were incorporated into a novel clinicopathological scoring model (assessment for PA-TACE [APT] risk-scoring model) ranging from 0 to 8 that was correlated with prognosis. Different survival outcomes were identified in three groups (0-2 points, 3-6 points, and 7-8 points). The risk-scoring model was further confirmed with 2 independent sets.The novel APT risk-scoring model, merging 4 prognostic factors, may achieve an optimal postsurgical prediction of PA-TACE in HBV-related HCC. The risk for an individual patient with an APT score of ≥7.0 prior to the PA-TACE, who may not profit from further PA-TACE, can be determined, and this may lead to a more appropriate choice of treatment.Entities:
Mesh:
Substances:
Year: 2016 PMID: 28033246 PMCID: PMC5207542 DOI: 10.1097/MD.0000000000005517
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Figure 1Flowchart of patient selection. HBsAg = hepatitis B surface antigen.
Basal characteristics∗.
Univariate regression results for prognostic factors in the initial set.
Multivariate stepwise backward Cox regression analysis for prognostic factors in the initial set.
Figure 3OS in the 3 sets of patients treated by hepatectomy determined just before PA-TACE. (A) Prognostic significance according to the characteristics of the Kaplan–Meier curves with the single point scores in the initial set. (B) Initial set in accordance with the APT scoring model using a cut-off value of 3. (C) Initial set in accordance with the APT scoring model using a cut-off value of ≤2 versus 3–6 versus ≥7. (D) Internal validation set in accordance with the APT scoring model using a cut-off value of ≤2 versus 3–6 versus ≥7. (E) External set in accordance with the APT scoring model using a cut-off value of ≤2 versus 3–6 versus ≥7. APT = assessment for PA-TACE, OS = overall survival, PA-TACE = postoperative adjuvant transarterial chemoembolization.
Figure 2Histograms of the evolution of median OS according to the APT scoring model in the initial set (blue bars), internal validation set (red bars), and external validation set (green bars). APT = assessment for PA-TACE, OS = overall survival, PA-TACE = postoperative adjuvant transarterial chemoembolization.
Figure 4Proposed treatment algorithm for the postoperative adjuvant transarterial chemoembolization (PA-TACE).